Augmented reality has the potential to improve the effectiveness of collision warnings in vehicles because they inherently convey spatial information about the hazard and can guide the attention of the driver towards it. For future warning systems, which can detect sight obstructed dangers, related work already revealed some advantages. In a driving simulator study with 80 participants, we investigated the effects of three corresponding design parameters which are commonly integrated at augmented reality warnings. This study analyzes the individual contribution of specific warning symbols, warning animation, and spatial referencing. Part one of the study concentrates on the effectiveness of necessary warnings and part two on the drivers' compliance despite false alarms. Compared to the control condition with static unspecific warning symbols, static specific warning symbols depicting the type and motion direction of the hazard led to several but inconsistent advantages. The scaling animation only improved subjective evaluation. However, spatial referencing of an (unspecific) warning symbol consistently improved drivers' reactions to as well as evaluations of necessary and unnecessary warnings. The results emphasize the potential of spatial referencing, particularly for in-vehicle warnings of future collision avoidance systems.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.apergo.2018.05.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Improved aboveground biomass estimation and regional assessment with aerial lidar in California's subalpine forests.
Carbon Balance Manag
December 2024
Department of Land, Air and Water Resources, University of California, Davis, CA, 95616, USA.
Background: Understanding the impacts of climate change on forest aboveground biomass is a high priority for land managers. High elevation subalpine forests provide many important ecosystem services, including carbon sequestration, and are vulnerable to climate change, which has altered forest structure and disturbance regimes. Although large, regional studies have advanced aboveground biomass mapping with satellite data, typically using a general approach broadly calibrated or trained with available field data, it is unclear how well these models work in less prevalent and highly heterogeneous forest types such as the subalpine.
View Article and Find Full Text PDFSpatially Quantitative Imaging of Enzyme Activity in a Living Cell.
J Am Chem Soc
December 2024
State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
Enzyme activity plays a key role in cell heterogeneity. Its spatially quantitative imaging in a living cell not only directly displays but also helps people to understand cell heterogeneity. Current methods are hard to achieve due to the short intracellular retention or lack of internal reference of the imaging probes.
View Article and Find Full Text PDFGridded, temporally referenced spatial information on soil organic carbon for Hungary.
Sci Data
December 2024
Institute for Soil Sciences, HUN-REN Centre for Agricultural Research, Budapest, Hungary.
Soil organic carbon (SOC), known as the most important soil attribute, affects various soil functions and services, essential for nutritious food and clean drinking water. Since recognizing its key role in many environmental challenges, there has been an increasing demand for spatial information on SOC. Our objective is to present the results of a mapping activity aimed at producing spatially exhaustive information on SOC content, density, and stock for the topsoils of Hungary for 1992 and 2000.
View Article and Find Full Text PDFUnderstanding the impact of covariates on the classification of implementation units for soil-transmitted helminths control: a case study from Kenya.
BMC Med Res Methodol
November 2024
Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.
Article Synopsis
- Soil-transmitted helminthiasis (STH) mainly affects impoverished areas, and this study uses model-based geostatistics to map disease risk and improve predictions of STH prevalence by incorporating remotely sensed data.
- The research analyzes data from 1551 schools in Kenya, comparing geostatistical models with and without spatially referenced covariates to assess how well they predict STH prevalence classifications.
- Results show that the model using covariates provided better accuracy in classifying districts and reduced uncertainty in predictions, highlighting the potential for enhanced control strategies for STH.
Planning and implementing ecological corridors in the southeast Atlantic Forest: Challenges and opportunities.
An Acad Bras Cienc
November 2024
Universidade Estadual Paulista, Instituto de Ciência e Tecnologia, Departamento de Engenharia Ambiental, Rodovia Presidente Dutra, Km 137,8, Eugênio de Melo, 12247-004 São José dos Campos, SP, Brazil.
Designing ecological corridors studies are much more common than studies that evaluate the effectiveness and practicality of implementation. Thus, this study aimed to identify and discuss factors that can influence the implementation of ecological corridors designed from a multicriteria analysis. For this purpose, the ecological corridor implementation efforts of a Non-Governmental Organization (NGO) in an Atlantic Forest region were evaluated.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!